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DEVELOPMENT OF SECURITY SYSTEMS USING DNN AND I & X-VECTOR CLASSIFIERS

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dc.contributor.author Mamyrbayev, Orken
dc.contributor.author Kydyrbekova, Aizat
dc.contributor.author Alimhan, Keylan
dc.contributor.author Oralbekova, Dina
dc.contributor.author Zhumazhanov, Bagashar
dc.contributor.author Nuranbayeva, Bulbul
dc.date.accessioned 2024-09-20T10:14:56Z
dc.date.available 2024-09-20T10:14:56Z
dc.date.issued 2021
dc.identifier.citation Mamyrbayev, O., Kydyrbekova, A., Alimhan, K., Oralbekova, D., Zhumazhanov, B., Nuranbayeva, B. (2021). Development of security systems using DNN and i & x-vector classifiers. Eastern-European Journal of Enterprise Technologies, 4 (9 (112)), 32–45. doi: https://doi.org/10.15587/1729-4061.2021.239186 ru
dc.identifier.issn 1729-3774
dc.identifier.uri https://doi.org/10.15587/1729-4061.2021.239186
dc.identifier.uri http://rep.enu.kz/handle/enu/16760
dc.description.abstract The widespread use of biometric systems entails increased interest from cybercriminals aimed at developing attacks to crack them. Thus, the development of biometric identification systems must be carried out taking into account protection against these attacks. The development of new methods and algorithms for identification based on the presentation of randomly generated key features from the biometric base of user standards will help to minimize the disadvantages of the above methods of biometric identification of users. We present an implementation of a security system based on voice identification as an access control key and a verification algorithm developed using MATLAB function blocks that can authenticate a person's identity by his or her voice. Our research has shown an accuracy of 90 % for this user identification system for individual voice characteristics. It has been experimentally proven that traditional MFCCs using DNN and i and x-vector classifiers can achieve good results. The paper considers and analyzes the most well-known approaches from the literature to the problem of user identification by voice: dynamic programming methods, vector quantization, mixtures of Gaussian processes, hidden Markov model. The developed software package for biometric identification of users by voice and the method of forming the user's voice standards implemented in the complex allow reducing the number of errors in identifying users of information systems by voice by an average of 1.5 times. Our proposed system better defines voice recognition in terms of accuracy, security and complexity. The application of the results obtained will improve the security of the identification process in information systems from various attacks. ru
dc.description.sponsorship This research has been funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (Grant No. AP09259309). ru
dc.language.iso en ru
dc.publisher Eastern-European Journal of Enterprise Technologies ru
dc.relation.ispartofseries Volume 4, Issue 9-112;Pages 32 - 45
dc.subject i-vector ru
dc.subject security system ru
dc.subject voice biometric ru
dc.subject voice identification ru
dc.subject voice recognition ru
dc.subject x-vector ru
dc.title DEVELOPMENT OF SECURITY SYSTEMS USING DNN AND I & X-VECTOR CLASSIFIERS ru
dc.type Article ru


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